Multiple Sclerosis May Have Two Distinct Subtypes, Scientists Discover

There may be two distinct subtypes of multiple sclerosis, according to a new study led by scientists at University College ...
TDAN.com

Using Artificial Intelligence and Machine learning to Improve Data Quality in Cloud Native Data Pipelines

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
Quanta Magazine

Distinct AI Models Seem To Converge On How They Encode Reality

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

Language shapes visual processing in both human brains and AI models, study finds

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development of computational models inspired by the brain's layered organization, also ...
EurekAlert!

A review on multi-view learning

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Seeing thyroid cancer in a new light: When AI meets label-free imaging in the operating room

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.
The Daily Overview on MSN

20 legit at-home jobs you can start without leaving your couch

Legit at-home jobs are not limited to corporate payrolls or gig apps. Many people now build résumés, portfolios, and ...
IEEE

Breast Cancer Classification using Machine Learning Techniques with Explainable AI

Abstract: All the symptoms have been analyzed using several machine learning algorithms for diagnosing breast cancer. This paper utilizes the Breast Cancer Wisconsin (Diagnostic) data set to show how ...
IEEE

In-Context Learning in Large Language Models (LLMs): Mechanisms, Capabilities, and Implications for Advanced Knowledge Representation and Reasoning

Abstract: The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...